Overview

Dataset statistics

Number of variables20
Number of observations2644
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory413.2 KiB
Average record size in memory160.0 B

Variable types

NUM20

Reproduction

Analysis started2022-03-19 16:51:55.016082
Analysis finished2022-03-19 16:54:50.828543
Duration2 minutes and 55.81 seconds
Versionpandas-profiling v2.7.1
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml
under-five deaths is highly correlated with infant deathsHigh correlation
infant deaths is highly correlated with under-five deathsHigh correlation
GDP is highly correlated with percentage expenditureHigh correlation
percentage expenditure is highly correlated with GDPHigh correlation
thinness 5-9 years is highly correlated with thinness 10-19 yearsHigh correlation
thinness 10-19 years is highly correlated with thinness 5-9 yearsHigh correlation
Unnamed: 0 is uniformly distributed Uniform
Unnamed: 0 has unique values Unique
infant deaths has 803 (30.4%) zeros Zeros
Alcohol has 177 (6.7%) zeros Zeros
percentage expenditure has 498 (18.8%) zeros Zeros
Hepatitis B has 519 (19.6%) zeros Zeros
Measles has 899 (34.0%) zeros Zeros
BMI has 34 (1.3%) zeros Zeros
under-five deaths has 747 (28.3%) zeros Zeros
Total expenditure has 208 (7.9%) zeros Zeros
GDP has 352 (13.3%) zeros Zeros
Population has 540 (20.4%) zeros Zeros
thinness 10-19 years has 34 (1.3%) zeros Zeros
thinness 5-9 years has 34 (1.3%) zeros Zeros
Income composition of resources has 230 (8.7%) zeros Zeros
Schooling has 141 (5.3%) zeros Zeros

Variables

Unnamed: 0
Real number (ℝ≥0)

UNIFORM
UNIQUE
Distinct count2644
Unique (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1321.5
Minimum0
Maximum2643
Zeros1
Zeros (%)< 0.1%
Memory size20.8 KiB
2022-03-19T11:54:51.050857image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile132.15
Q1660.75
median1321.5
Q31982.25
95-th percentile2510.85
Maximum2643
Range2643
Interquartile range (IQR)1321.5

Descriptive statistics

Standard deviation763.4013798
Coefficient of variation (CV)0.5776779264
Kurtosis-1.2
Mean1321.5
Median Absolute Deviation (MAD)661
Skewness0
Sum3494046
Variance582781.6667
2022-03-19T11:54:51.368317image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 1 < 0.1%
 
1757 1 < 0.1%
 
1759 1 < 0.1%
 
1760 1 < 0.1%
 
1761 1 < 0.1%
 
1762 1 < 0.1%
 
1763 1 < 0.1%
 
1764 1 < 0.1%
 
1765 1 < 0.1%
 
1766 1 < 0.1%
 
Other values (2634) 2634 99.6%
 
ValueCountFrequency (%) 
0 1 < 0.1%
 
1 1 < 0.1%
 
2 1 < 0.1%
 
3 1 < 0.1%
 
4 1 < 0.1%
 
ValueCountFrequency (%) 
2643 1 < 0.1%
 
2642 1 < 0.1%
 
2641 1 < 0.1%
 
2640 1 < 0.1%
 
2639 1 < 0.1%
 

Life expectancy
Real number (ℝ≥0)

Distinct count359
Unique (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.06879727685326
Minimum0.0
Maximum89.0
Zeros9
Zeros (%)0.3%
Memory size20.8 KiB
2022-03-19T11:54:51.686761image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile51.4
Q162.975
median72.1
Q375.8
95-th percentile82
Maximum89
Range89
Interquartile range (IQR)12.825

Descriptive statistics

Standard deviation10.35175726
Coefficient of variation (CV)0.1498760319
Kurtosis5.676098829
Mean69.06879728
Median Absolute Deviation (MAD)5.9
Skewness-1.429161629
Sum182617.9
Variance107.1588785
2022-03-19T11:54:51.977339image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
73 44 1.7%
 
75 30 1.1%
 
78 26 1.0%
 
73.6 24 0.9%
 
81 23 0.9%
 
73.9 23 0.9%
 
74.5 22 0.8%
 
76 22 0.8%
 
74.1 22 0.8%
 
73.5 21 0.8%
 
Other values (349) 2387 90.3%
 
ValueCountFrequency (%) 
0 9 0.3%
 
36.3 1 < 0.1%
 
39 1 < 0.1%
 
41 1 < 0.1%
 
41.5 1 < 0.1%
 
ValueCountFrequency (%) 
89 11 0.4%
 
88 10 0.4%
 
87 8 0.3%
 
86 13 0.5%
 
85 12 0.5%
 

Adult Mortality
Real number (ℝ≥0)

Distinct count409
Unique (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.46520423600606
Minimum0.0
Maximum699.0
Zeros9
Zeros (%)0.3%
Memory size20.8 KiB
2022-03-19T11:54:52.260444image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q173
median143
Q3226.25
95-th percentile392.7
Maximum699
Range699
Interquartile range (IQR)153.25

Descriptive statistics

Standard deviation121.1869533
Coefficient of variation (CV)0.7459255896
Kurtosis1.407400036
Mean162.4652042
Median Absolute Deviation (MAD)76
Skewness1.082963128
Sum429558
Variance14686.27764
2022-03-19T11:54:52.571362image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
12 28 1.1%
 
14 26 1.0%
 
16 25 0.9%
 
11 22 0.8%
 
144 22 0.8%
 
138 22 0.8%
 
19 20 0.8%
 
76 19 0.7%
 
15 19 0.7%
 
127 19 0.7%
 
Other values (399) 2422 91.6%
 
ValueCountFrequency (%) 
0 9 0.3%
 
1 11 0.4%
 
2 8 0.3%
 
3 6 0.2%
 
4 4 0.2%
 
ValueCountFrequency (%) 
699 1 < 0.1%
 
693 1 < 0.1%
 
682 1 < 0.1%
 
679 1 < 0.1%
 
675 1 < 0.1%
 

infant deaths
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count197
Unique (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.14409984871407
Minimum0
Maximum1800
Zeros803
Zeros (%)30.4%
Memory size20.8 KiB
2022-03-19T11:54:52.873154image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q318
95-th percentile95
Maximum1800
Range1800
Interquartile range (IQR)18

Descriptive statistics

Standard deviation123.9323197
Coefficient of variation (CV)3.979319367
Kurtosis105.2156075
Mean31.14409985
Median Absolute Deviation (MAD)2
Skewness9.349131179
Sum82345
Variance15359.21986
2022-03-19T11:54:53.142606image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 803 30.4%
 
1 317 12.0%
 
2 203 7.7%
 
3 157 5.9%
 
4 79 3.0%
 
8 57 2.2%
 
10 44 1.7%
 
7 44 1.7%
 
9 37 1.4%
 
11 36 1.4%
 
Other values (187) 867 32.8%
 
ValueCountFrequency (%) 
0 803 30.4%
 
1 317 12.0%
 
2 203 7.7%
 
3 157 5.9%
 
4 79 3.0%
 
ValueCountFrequency (%) 
1800 2 0.1%
 
1700 2 0.1%
 
1600 1 < 0.1%
 
1500 2 0.1%
 
1400 1 < 0.1%
 

Alcohol
Real number (ℝ≥0)

ZEROS
Distinct count1032
Unique (%)39.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.328683812405447
Minimum0.0
Maximum17.87
Zeros177
Zeros (%)6.7%
Memory size20.8 KiB
2022-03-19T11:54:53.448746image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4075
median3.225
Q37.495
95-th percentile12
Maximum17.87
Range17.87
Interquartile range (IQR)7.0875

Descriptive statistics

Standard deviation4.146851238
Coefficient of variation (CV)0.9579935651
Kurtosis-0.7594094965
Mean4.328683812
Median Absolute Deviation (MAD)3.17
Skewness0.660487079
Sum11445.04
Variance17.19637519
2022-03-19T11:54:53.768425image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.01 275 10.4%
 
0 177 6.7%
 
0.03 14 0.5%
 
0.02 12 0.5%
 
0.09 12 0.5%
 
0.21 10 0.4%
 
0.55 9 0.3%
 
0.54 9 0.3%
 
0.56 9 0.3%
 
1.18 9 0.3%
 
Other values (1022) 2108 79.7%
 
ValueCountFrequency (%) 
0 177 6.7%
 
0.01 275 10.4%
 
0.02 12 0.5%
 
0.03 14 0.5%
 
0.04 6 0.2%
 
ValueCountFrequency (%) 
17.87 1 < 0.1%
 
17.31 1 < 0.1%
 
16.99 1 < 0.1%
 
16.58 1 < 0.1%
 
16.35 1 < 0.1%
 

percentage expenditure
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count2147
Unique (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean792.4655522494974
Minimum0.0
Maximum19479.91161
Zeros498
Zeros (%)18.8%
Memory size20.8 KiB
2022-03-19T11:54:54.130018image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.044564582
median70.64878737
Q3485.9595594
95-th percentile5066.826671
Maximum19479.91161
Range19479.91161
Interquartile range (IQR)478.9149948

Descriptive statistics

Standard deviation2077.768681
Coefficient of variation (CV)2.6219041
Kurtosis24.06125676
Mean792.4655522
Median Absolute Deviation (MAD)70.64878737
Skewness4.444776518
Sum2095278.92
Variance4317122.69
2022-03-19T11:54:54.444574image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 498 18.8%
 
71.27962362 1 < 0.1%
 
274.5472605 1 < 0.1%
 
595.7306923 1 < 0.1%
 
527.3076721 1 < 0.1%
 
57.12190146 1 < 0.1%
 
495.0782963 1 < 0.1%
 
36.48024032 1 < 0.1%
 
33.66981355 1 < 0.1%
 
198.7343495 1 < 0.1%
 
Other values (2137) 2137 80.8%
 
ValueCountFrequency (%) 
0 498 18.8%
 
0.09987219 1 < 0.1%
 
0.108055973 1 < 0.1%
 
0.27564826 1 < 0.1%
 
0.328418056 1 < 0.1%
 
ValueCountFrequency (%) 
19479.91161 1 < 0.1%
 
19099.04506 1 < 0.1%
 
18961.3486 1 < 0.1%
 
18822.86732 1 < 0.1%
 
18379.32974 1 < 0.1%
 

Hepatitis B
Real number (ℝ≥0)

ZEROS
Distinct count87
Unique (%)3.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.53290468986384
Minimum0.0
Maximum99.0
Zeros519
Zeros (%)19.6%
Memory size20.8 KiB
2022-03-19T11:54:54.848197image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.75
median87
Q396
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)81.25

Descriptive statistics

Standard deviation39.22134736
Coefficient of variation (CV)0.5984985337
Kurtosis-1.018651157
Mean65.53290469
Median Absolute Deviation (MAD)11
Skewness-0.8708038193
Sum173269
Variance1538.314089
2022-03-19T11:54:55.139450image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 519 19.6%
 
99 223 8.4%
 
98 195 7.4%
 
96 155 5.9%
 
97 141 5.3%
 
95 134 5.1%
 
94 111 4.2%
 
93 94 3.6%
 
92 69 2.6%
 
91 67 2.5%
 
Other values (77) 936 35.4%
 
ValueCountFrequency (%) 
0 519 19.6%
 
1 1 < 0.1%
 
2 4 0.2%
 
4 3 0.1%
 
5 7 0.3%
 
ValueCountFrequency (%) 
99 223 8.4%
 
98 195 7.4%
 
97 141 5.3%
 
96 155 5.9%
 
95 134 5.1%
 

Measles
Real number (ℝ≥0)

ZEROS
Distinct count859
Unique (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2432.9228441754917
Minimum0
Maximum212183
Zeros899
Zeros (%)34.0%
Memory size20.8 KiB
2022-03-19T11:54:55.452308image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median14
Q3329.75
95-th percentile9561.55
Maximum212183
Range212183
Interquartile range (IQR)329.75

Descriptive statistics

Standard deviation11868.65244
Coefficient of variation (CV)4.878351349
Kurtosis110.7863047
Mean2432.922844
Median Absolute Deviation (MAD)14
Skewness9.361772676
Sum6432648
Variance140864910.7
2022-03-19T11:54:55.750296image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 899 34.0%
 
1 98 3.7%
 
2 66 2.5%
 
3 41 1.6%
 
4 30 1.1%
 
6 29 1.1%
 
7 25 0.9%
 
5 25 0.9%
 
8 23 0.9%
 
10 20 0.8%
 
Other values (849) 1388 52.5%
 
ValueCountFrequency (%) 
0 899 34.0%
 
1 98 3.7%
 
2 66 2.5%
 
3 41 1.6%
 
4 30 1.1%
 
ValueCountFrequency (%) 
212183 1 < 0.1%
 
182485 1 < 0.1%
 
168107 1 < 0.1%
 
141258 1 < 0.1%
 
133802 1 < 0.1%
 

BMI
Real number (ℝ≥0)

ZEROS
Distinct count592
Unique (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.66274583963691
Minimum0.0
Maximum87.3
Zeros34
Zeros (%)1.3%
Memory size20.8 KiB
2022-03-19T11:54:56.039738image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.1
Q118.9
median43
Q355.9
95-th percentile64.5
Maximum87.3
Range87.3
Interquartile range (IQR)37

Descriptive statistics

Standard deviation20.33975045
Coefficient of variation (CV)0.5400495901
Kurtosis-1.291098471
Mean37.66274584
Median Absolute Deviation (MAD)16.7
Skewness-0.2047583888
Sum99580.3
Variance413.7054485
2022-03-19T11:54:56.355780image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 34 1.3%
 
58.5 16 0.6%
 
54.2 15 0.6%
 
59.9 14 0.5%
 
57 14 0.5%
 
55.8 14 0.5%
 
59.4 13 0.5%
 
58.1 13 0.5%
 
52.8 13 0.5%
 
55 11 0.4%
 
Other values (582) 2487 94.1%
 
ValueCountFrequency (%) 
0 34 1.3%
 
1.4 1 < 0.1%
 
1.8 1 < 0.1%
 
2 1 < 0.1%
 
2.1 11 0.4%
 
ValueCountFrequency (%) 
87.3 1 < 0.1%
 
83.3 1 < 0.1%
 
82.8 1 < 0.1%
 
81.6 1 < 0.1%
 
77.6 1 < 0.1%
 

under-five deaths
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count240
Unique (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.160363086232984
Minimum0
Maximum2500
Zeros747
Zeros (%)28.3%
Memory size20.8 KiB
2022-03-19T11:54:56.679363image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q323
95-th percentile136
Maximum2500
Range2500
Interquartile range (IQR)23

Descriptive statistics

Standard deviation168.4859286
Coefficient of variation (CV)3.903718981
Kurtosis99.81352476
Mean43.16036309
Median Absolute Deviation (MAD)3
Skewness9.090007872
Sum114116
Variance28387.50814
2022-03-19T11:54:56.954513image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 747 28.3%
 
1 329 12.4%
 
2 163 6.2%
 
4 141 5.3%
 
3 121 4.6%
 
12 50 1.9%
 
6 40 1.5%
 
10 38 1.4%
 
9 38 1.4%
 
5 35 1.3%
 
Other values (230) 942 35.6%
 
ValueCountFrequency (%) 
0 747 28.3%
 
1 329 12.4%
 
2 163 6.2%
 
3 121 4.6%
 
4 141 5.3%
 
ValueCountFrequency (%) 
2500 1 < 0.1%
 
2400 1 < 0.1%
 
2300 1 < 0.1%
 
2200 1 < 0.1%
 
2100 1 < 0.1%
 

Polio
Real number (ℝ≥0)

Distinct count74
Unique (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.96709531013616
Minimum0.0
Maximum99.0
Zeros19
Zeros (%)0.7%
Memory size20.8 KiB
2022-03-19T11:54:57.218600image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q178
median93
Q397
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)19

Descriptive statistics

Standard deviation24.52152905
Coefficient of variation (CV)0.2991630843
Kurtosis3.408574123
Mean81.96709531
Median Absolute Deviation (MAD)6
Skewness-2.045952733
Sum216721
Variance601.3053868
2022-03-19T11:54:57.483596image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
99 349 13.2%
 
98 235 8.9%
 
97 191 7.2%
 
96 189 7.1%
 
95 161 6.1%
 
94 132 5.0%
 
93 106 4.0%
 
92 86 3.3%
 
91 66 2.5%
 
88 64 2.4%
 
Other values (64) 1065 40.3%
 
ValueCountFrequency (%) 
0 19 0.7%
 
3 7 0.3%
 
4 11 0.4%
 
5 8 0.3%
 
6 11 0.4%
 
ValueCountFrequency (%) 
99 349 13.2%
 
98 235 8.9%
 
97 191 7.2%
 
96 189 7.1%
 
95 161 6.1%
 

Total expenditure
Real number (ℝ≥0)

ZEROS
Distinct count796
Unique (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.43107791225416
Minimum0.0
Maximum17.24
Zeros208
Zeros (%)7.9%
Memory size20.8 KiB
2022-03-19T11:54:57.781947image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.6775
median5.55
Q37.3725
95-th percentile9.6485
Maximum17.24
Range17.24
Interquartile range (IQR)3.695

Descriptive statistics

Standard deviation2.821981619
Coefficient of variation (CV)0.5195988099
Kurtosis-0.1416073664
Mean5.431077912
Median Absolute Deviation (MAD)1.85
Skewness-0.03049886366
Sum14359.77
Variance7.96358026
2022-03-19T11:54:58.095389image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 208 7.9%
 
4.6 14 0.5%
 
6.7 11 0.4%
 
3.4 10 0.4%
 
5.6 10 0.4%
 
5.25 9 0.3%
 
9.1 9 0.3%
 
5.82 9 0.3%
 
6.1 9 0.3%
 
8.9 8 0.3%
 
Other values (786) 2347 88.8%
 
ValueCountFrequency (%) 
0 208 7.9%
 
0.37 1 < 0.1%
 
0.65 1 < 0.1%
 
0.74 1 < 0.1%
 
0.76 1 < 0.1%
 
ValueCountFrequency (%) 
17.24 1 < 0.1%
 
14.39 1 < 0.1%
 
13.83 1 < 0.1%
 
13.76 1 < 0.1%
 
13.73 1 < 0.1%
 

Diphtheria
Real number (ℝ≥0)

Distinct count82
Unique (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.92662632375189
Minimum0.0
Maximum99.0
Zeros19
Zeros (%)0.7%
Memory size20.8 KiB
2022-03-19T11:54:58.418790image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q178
median93
Q397
95-th percentile99
Maximum99
Range99
Interquartile range (IQR)19

Descriptive statistics

Standard deviation24.50277201
Coefficient of variation (CV)0.2990819116
Kurtosis3.340316386
Mean81.92662632
Median Absolute Deviation (MAD)6
Skewness-2.041433798
Sum216614
Variance600.3858364
2022-03-19T11:54:58.700286image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
99 327 12.4%
 
98 233 8.8%
 
97 190 7.2%
 
96 174 6.6%
 
95 173 6.5%
 
94 128 4.8%
 
93 115 4.3%
 
92 87 3.3%
 
91 79 3.0%
 
89 73 2.8%
 
Other values (72) 1065 40.3%
 
ValueCountFrequency (%) 
0 19 0.7%
 
2 1 < 0.1%
 
3 4 0.2%
 
4 12 0.5%
 
5 8 0.3%
 
ValueCountFrequency (%) 
99 327 12.4%
 
98 233 8.8%
 
97 190 7.2%
 
96 174 6.6%
 
95 173 6.5%
 

HIV/AIDS
Real number (ℝ≥0)

Distinct count177
Unique (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6170953101361574
Minimum0.1
Maximum50.6
Zeros0
Zeros (%)0.0%
Memory size20.8 KiB
2022-03-19T11:54:59.008916image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.1
Q10.1
median0.1
Q30.8
95-th percentile7.285
Maximum50.6
Range50.5
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation4.82215012
Coefficient of variation (CV)2.981982626
Kurtosis40.63260529
Mean1.61709531
Median Absolute Deviation (MAD)0
Skewness5.803790413
Sum4275.6
Variance23.25313178
2022-03-19T11:54:59.281117image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.1 1600 60.5%
 
0.2 106 4.0%
 
0.3 105 4.0%
 
0.4 64 2.4%
 
0.5 40 1.5%
 
0.6 34 1.3%
 
0.8 30 1.1%
 
0.9 28 1.1%
 
0.7 26 1.0%
 
1.6 21 0.8%
 
Other values (167) 590 22.3%
 
ValueCountFrequency (%) 
0.1 1600 60.5%
 
0.2 106 4.0%
 
0.3 105 4.0%
 
0.4 64 2.4%
 
0.5 40 1.5%
 
ValueCountFrequency (%) 
50.6 1 < 0.1%
 
50.3 1 < 0.1%
 
49.9 1 < 0.1%
 
49.1 1 < 0.1%
 
48.8 1 < 0.1%
 

GDP
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count2293
Unique (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6726.08023676702
Minimum0.0
Maximum119172.7418
Zeros352
Zeros (%)13.3%
Memory size20.8 KiB
2022-03-19T11:54:59.609202image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1238.6268817
median1254.65281
Q35277.746332
95-th percentile38527.25734
Maximum119172.7418
Range119172.7418
Interquartile range (IQR)5039.119451

Descriptive statistics

Standard deviation13873.88146
Coefficient of variation (CV)2.062699369
Kurtosis13.782567
Mean6726.080237
Median Absolute Deviation (MAD)1254.65281
Skewness3.390310702
Sum17783756.15
Variance192484586.8
2022-03-19T11:54:59.901644image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 352 13.3%
 
584.25921 1 < 0.1%
 
216.243274 1 < 0.1%
 
1627.42893 1 < 0.1%
 
2847.285569 1 < 0.1%
 
3154.513484 1 < 0.1%
 
3111.762887 1 < 0.1%
 
294.746728 1 < 0.1%
 
339.91616 1 < 0.1%
 
2834.2472 1 < 0.1%
 
Other values (2283) 2283 86.3%
 
ValueCountFrequency (%) 
0 352 13.3%
 
1.68135 1 < 0.1%
 
3.685949 1 < 0.1%
 
4.6135745 1 < 0.1%
 
5.6687264 1 < 0.1%
 
ValueCountFrequency (%) 
119172.7418 1 < 0.1%
 
115761.577 1 < 0.1%
 
114293.8433 1 < 0.1%
 
113751.85 1 < 0.1%
 
89739.7117 1 < 0.1%
 

Population
Real number (ℝ≥0)

ZEROS
Distinct count2098
Unique (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10521518.866278367
Minimum0.0
Maximum1293859294.0
Zeros540
Zeros (%)20.4%
Memory size20.8 KiB
2022-03-19T11:55:00.245389image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112859
median622796.5
Q35194998.75
95-th percentile42182320.9
Maximum1293859294
Range1293859294
Interquartile range (IQR)5182139.75

Descriptive statistics

Standard deviation56809774.24
Coefficient of variation (CV)5.399389096
Kurtosis345.7775414
Mean10521518.87
Median Absolute Deviation (MAD)622796.5
Skewness17.1560811
Sum2.781889588e+10
Variance3.227350449e+15
2022-03-19T11:55:00.571709image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 540 20.4%
 
444 4 0.2%
 
127445 2 0.1%
 
1141 2 0.1%
 
292 2 0.1%
 
718239 2 0.1%
 
31989897 1 < 0.1%
 
3249639 1 < 0.1%
 
31596855 1 < 0.1%
 
32858823 1 < 0.1%
 
Other values (2088) 2088 79.0%
 
ValueCountFrequency (%) 
0 540 20.4%
 
34 1 < 0.1%
 
36 1 < 0.1%
 
41 1 < 0.1%
 
43 1 < 0.1%
 
ValueCountFrequency (%) 
1293859294 1 < 0.1%
 
1179681239 1 < 0.1%
 
1161977719 1 < 0.1%
 
1144118674 1 < 0.1%
 
1126135777 1 < 0.1%
 

thinness 10-19 years
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count198
Unique (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.743910741301058
Minimum0.0
Maximum27.7
Zeros34
Zeros (%)1.3%
Memory size20.8 KiB
2022-03-19T11:55:00.997772image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.415
Q11.5
median3.2
Q37.2
95-th percentile13.3
Maximum27.7
Range27.7
Interquartile range (IQR)5.7

Descriptive statistics

Standard deviation4.467839082
Coefficient of variation (CV)0.9418050477
Kurtosis4.220610583
Mean4.743910741
Median Absolute Deviation (MAD)2.3
Skewness1.763873058
Sum12542.9
Variance19.96158606
2022-03-19T11:55:01.333194image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
1 74 2.8%
 
1.9 65 2.5%
 
1.2 61 2.3%
 
2.1 61 2.3%
 
2.2 58 2.2%
 
2 57 2.2%
 
0.9 57 2.2%
 
1.1 53 2.0%
 
1.3 52 2.0%
 
0.8 51 1.9%
 
Other values (188) 2055 77.7%
 
ValueCountFrequency (%) 
0 34 1.3%
 
0.1 23 0.9%
 
0.2 39 1.5%
 
0.3 32 1.2%
 
0.4 5 0.2%
 
ValueCountFrequency (%) 
27.7 1 < 0.1%
 
27.5 1 < 0.1%
 
27.4 1 < 0.1%
 
27.3 1 < 0.1%
 
27.2 2 0.1%
 

thinness 5-9 years
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS
Distinct count204
Unique (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.77821482602118
Minimum0.0
Maximum28.6
Zeros34
Zeros (%)1.3%
Memory size20.8 KiB
2022-03-19T11:55:01.660667image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q11.5
median3.2
Q37.3
95-th percentile13.6
Maximum28.6
Range28.6
Interquartile range (IQR)5.8

Descriptive statistics

Standard deviation4.553417977
Coefficient of variation (CV)0.9529538003
Kurtosis4.632168812
Mean4.778214826
Median Absolute Deviation (MAD)2.3
Skewness1.831556234
Sum12633.6
Variance20.73361528
2022-03-19T11:55:01.982535image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0.9 69 2.6%
 
1.1 67 2.5%
 
1.9 63 2.4%
 
1 62 2.3%
 
2.1 61 2.3%
 
1.3 58 2.2%
 
2 52 2.0%
 
2.5 49 1.9%
 
0.5 48 1.8%
 
1.7 47 1.8%
 
Other values (194) 2068 78.2%
 
ValueCountFrequency (%) 
0 34 1.3%
 
0.1 31 1.2%
 
0.2 45 1.7%
 
0.3 25 0.9%
 
0.4 17 0.6%
 
ValueCountFrequency (%) 
28.6 1 < 0.1%
 
28.5 1 < 0.1%
 
28.4 1 < 0.1%
 
28.3 1 < 0.1%
 
28.2 1 < 0.1%
 

Income composition of resources
Real number (ℝ≥0)

ZEROS
Distinct count622
Unique (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6028789712556732
Minimum0.0
Maximum0.948
Zeros230
Zeros (%)8.7%
Memory size20.8 KiB
2022-03-19T11:55:02.282852image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.473
median0.668
Q30.781
95-th percentile0.89285
Maximum0.948
Range0.948
Interquartile range (IQR)0.308

Descriptive statistics

Standard deviation0.244039778
Coefficient of variation (CV)0.4047906623
Kurtosis0.7025925394
Mean0.6028789713
Median Absolute Deviation (MAD)0.145
Skewness-1.110901853
Sum1594.012
Variance0.05955541327
2022-03-19T11:55:02.547074image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 230 8.7%
 
0.7 15 0.6%
 
0.739 12 0.5%
 
0.636 12 0.5%
 
0.735 11 0.4%
 
0.797 11 0.4%
 
0.703 11 0.4%
 
0.877 11 0.4%
 
0.686 11 0.4%
 
0.86 11 0.4%
 
Other values (612) 2309 87.3%
 
ValueCountFrequency (%) 
0 230 8.7%
 
0.253 1 < 0.1%
 
0.255 1 < 0.1%
 
0.261 1 < 0.1%
 
0.266 1 < 0.1%
 
ValueCountFrequency (%) 
0.948 1 < 0.1%
 
0.945 1 < 0.1%
 
0.942 1 < 0.1%
 
0.941 1 < 0.1%
 
0.939 1 < 0.1%
 

Schooling
Real number (ℝ≥0)

ZEROS
Distinct count173
Unique (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.48267776096823
Minimum0.0
Maximum20.7
Zeros141
Zeros (%)5.3%
Memory size20.8 KiB
2022-03-19T11:55:02.859931image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19.5
median12.3
Q314.2
95-th percentile16.9
Maximum20.7
Range20.7
Interquartile range (IQR)4.7

Descriptive statistics

Standard deviation4.170684252
Coefficient of variation (CV)0.3632153004
Kurtosis1.064846057
Mean11.48267776
Median Absolute Deviation (MAD)2.3
Skewness-0.9793273376
Sum30360.2
Variance17.39460713
2022-03-19T11:55:03.105293image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
0 141 5.3%
 
12.9 56 2.1%
 
13.3 44 1.7%
 
12.8 44 1.7%
 
12.5 41 1.6%
 
12.6 39 1.5%
 
15.8 38 1.4%
 
12.3 38 1.4%
 
12.4 38 1.4%
 
12.7 37 1.4%
 
Other values (163) 2128 80.5%
 
ValueCountFrequency (%) 
0 141 5.3%
 
2.8 1 < 0.1%
 
2.9 4 0.2%
 
3 1 < 0.1%
 
3.1 1 < 0.1%
 
ValueCountFrequency (%) 
20.7 1 < 0.1%
 
20.6 1 < 0.1%
 
20.5 1 < 0.1%
 
20.4 3 0.1%
 
20.3 4 0.2%
 

Interactions

2022-03-19T11:52:06.731371image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:07.293209image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:07.716480image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:08.194672image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:08.740489image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:09.205173image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:09.641699image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:10.067328image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:10.493267image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:10.928896image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:11.377406image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:11.847439image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:12.356290image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:12.826495image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:13.204412image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:13.581236image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:13.949024image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:14.325022image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:14.680020image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:15.031758image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:15.426646image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:15.766769image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:16.102729image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:16.467163image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:16.843384image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:17.220622image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:18.360791image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:18.713866image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:19.051989image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:19.358538image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:19.711487image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:20.029923image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:20.453527image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:20.800367image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:21.123773image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:21.456944image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:21.823465image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:22.174525image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:22.504238image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:22.854423image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:23.141955image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:23.501037image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:23.901021image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:24.419974image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:24.837308image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:25.283019image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:25.716381image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:26.085363image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:26.440828image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:26.809330image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:27.174270image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:27.536386image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:27.925391image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:28.280331image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:28.668636image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:29.028724image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:29.410219image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:29.791407image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:30.145472image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:30.510222image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:30.861144image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:31.193728image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:31.563430image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:31.971359image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:32.355785image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:32.755905image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:33.094235image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:33.482636image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:33.905155image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:34.693873image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:35.043700image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:35.405952image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:35.837791image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:36.270335image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:36.674296image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:37.101996image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:37.510596image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:37.904171image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:38.297546image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:38.691857image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:39.013118image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:39.370991image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:39.727237image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:40.093175image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:40.488421image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:40.889945image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:41.264293image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:41.618640image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:42.048909image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:52:42.391862image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-19T11:54:15.754425image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:16.129858image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:16.482113image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:16.875896image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:17.277960image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:17.655952image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:18.021550image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:18.399531image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:18.798363image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:19.314343image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:19.874857image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:20.376040image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:20.806245image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:21.216078image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:21.686294image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:22.157321image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:22.556560image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:22.940953image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:23.294881image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:23.717522image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:24.116710image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:24.501477image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:24.895821image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:25.252767image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:25.620161image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:25.979557image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:26.374907image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:26.783870image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:27.180557image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:27.617964image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:28.022315image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:28.385633image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:28.828265image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:29.259928image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:29.703424image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:30.130733image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:30.477539image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:30.866106image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:31.256047image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:31.702048image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:32.141999image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:32.507735image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:32.910198image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:33.224185image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:33.575187image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:33.938470image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:34.323561image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-19T11:54:38.177635image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:39.419643image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:39.853990image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:40.221274image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-19T11:54:41.228787image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-19T11:54:42.232141image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-19T11:54:43.267298image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
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2022-03-19T11:54:44.067924image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:44.405468image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:44.748059image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:45.060134image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:45.448827image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:45.786077image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:46.236281image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:46.742945image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:47.177592image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:47.623340image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:47.997689image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:48.353631image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Correlations

2022-03-19T11:55:03.487809image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-03-19T11:55:04.352873image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-03-19T11:55:05.192633image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-03-19T11:55:05.992591image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-03-19T11:54:49.030758image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/
2022-03-19T11:54:50.289364image/svg+xmlMatplotlib v3.5.0, https://matplotlib.org/

Sample

First rows

Unnamed: 0Life expectancyAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 10-19 yearsthinness 5-9 yearsIncome composition of resourcesSchooling
0065.0263.0620.0171.27962465.0115419.1836.08.1665.00.1584.25921033736494.017.217.30.47910.1
1159.9271.0640.0173.52358262.049218.68658.08.1862.00.1612.696514327582.017.517.50.47610.0
2259.9268.0660.0173.21924364.043018.18962.08.1364.00.1631.74497631731688.017.717.70.4709.9
3359.5272.0690.0178.18421567.0278717.69367.08.5267.00.1669.9590003696958.017.918.00.4639.8
4459.2275.0710.017.09710968.0301317.29768.07.8768.00.163.5372312978599.018.218.20.4549.5
5558.8279.0740.0179.67936766.0198916.710266.09.2066.00.1553.3289402883167.018.418.40.4489.2
6658.6281.0770.0156.76221763.0286116.210663.09.4263.00.1445.893298284331.018.618.70.4348.9
7758.1287.0800.0325.87392564.0159915.711064.08.3364.00.1373.3611162729431.018.818.90.4338.7
8857.5295.0820.0210.91015663.0114115.211363.06.7363.00.1369.83579626616792.019.019.10.4158.4
9957.3295.0840.0317.17151864.0199014.711658.07.4358.00.1272.5637702589345.019.219.30.4058.1

Last rows

Unnamed: 0Life expectancyAdult Mortalityinfant deathsAlcoholpercentage expenditureHepatitis BMeaslesBMIunder-five deathsPolioTotal expenditureDiphtheriaHIV/AIDSGDPPopulationthinness 10-19 yearsthinness 5-9 yearsIncome composition of resourcesSchooling
2634263473.3135.000.01565.9672178.0074.8082.05.188.00.14192.34975815782.00.10.10.71614.3
2635263573.2137.000.01584.94498982.0074.3084.04.9882.00.14266.55717415328.00.10.10.71814.3
2636263673.0138.000.0163.80295077.0073.8079.04.5177.00.1451.54246214951.00.10.10.71714.4
2637263772.914.000.967.03398182.0073.3084.04.6082.00.1445.18866014577.00.10.10.71214.4
2638263872.8142.001.24471.83076782.0072.7084.04.5982.00.13547.59975014137.00.10.10.70714.4
2639263972.5147.001.084.78380684.0072.1086.04.6784.00.137.8465631364.00.10.10.70314.5
2640264072.6145.001.10569.62550484.0071.5088.05.1386.00.13392.647430135.00.10.10.69814.5
2641264172.5146.002.05568.86928187.007.8088.05.8287.00.12932.31588312357.00.10.10.69814.5
2642264272.4148.001.79503.58819689.007.1089.05.6188.00.12892.52266311689.00.10.10.69514.6
2643264372.315.001.57689.94402289.0069.409.06.5289.00.12594.7499901141.00.10.10.69414.6